Data Analytics Administrator - Orange County, CA, United States - County of Orange

County of Orange
County of Orange
Verified Company
Orange County, CA, United States

3 weeks ago

Mark Lane

Posted by:

Mark Lane

beBee recruiter
Description

CAREER DESCRIPTION:


DATA ANALYTICS ADMINISTRATOR

(RESEARCH, POLICY, AND QUALITY ASSURANCE ADMINISTRATOR)**- This position is scheduled to receive salary range increases on the following dates:
  • Effective June 28, % increase
  • Effective June 27, % increase

OPEN TO THE PUBLIC

  • This recruitment will establish an open eligible list that will be used to fill current and future Research, Policy, and Quality Assurance Administrator positions. The eligible list established may also be used to fill position in similar and/or lower classifications thought the County of Orange.

DEADLINE TO APPLY

COUNTY EXECUTIVE OFFICE - BUDGET AND FINANCE OFFICE


The County Executive Office (CEO) implements policies of the Board of Supervisors, supports County departments, oversees the County's infrastructure and real estate assets, prepares the annual County budget and strategic financial plan, manages the County debt programs, and assists the public.

The County Executive Officer is the highest-ranking appointed executive in the County and works with members of the Board of Supervisors and their staff, elected and appointed department heads and the County's 18,000+ employees to oversee the provision of essential government services through 22 departments.

The County Executive Office is organized into six divisions:
County Operations, Finance, Human Resource Services, Information Technology, Real Estate and Government & Community Relations.

The Budget & Finance Office is part of the County Executive Office and reports to the Chief Financial Officer. The unit is also involved in the implementation or coordination of many of the County's initiatives.


THE OPPORTUNITY


The Budget and Finance Office seeks an experienced data and research professional with an extensive background in data analytics, trend analysis, predictive analytics, statistical models, and forecasting outcomes as well as excellent written and oral communication skills.

The primary functions of this position include, but are not limited to performing advanced data analytics projects; leading agencies in maintaining a countywide data strategy/plan; developing projects to ensure metric reporting and outcomes for countywide initiatives; facilitating collaboration with agencies and third-party vendors; and special ad hoc assignments as required.

The incumbent will perform the following duties and responsibilities:

  • Utilizing statistical software and other programs to extract necessary data from databases to develop trend analyses, statistical and predictive models to assist with programming and budget recommendations.
  • Developing, tracking and reporting outcomes, performance indicators, trend analysis and correlations for Countywide projects and initiatives.
  • Creating reports and data dashboards using metrics to ensure datadriven decisions are implemented within countywide operations.
  • Analyzing existing data structures, models, and algorithms to assess if data requirements are supported and needs are being met for the County. Identifying gaps and making recommendations as appropriate.
  • Collaborating with agencies to ensure implementation of a countywide data strategy plan and all associated policies are followed with best practices to ensure reliability and validity of reported metrics and outcomes.
  • Conducting trainings and consultations regarding best practices in research, data analytics, data collection, evaluation and data entry. Develops and updates program policies and related training materials.
  • Providing recommendations for data system improvements used within agencies and thirdparty vendors to streamline processes and ensure timely reporting.

DESIRABLE QUALIFICATIONS AND CORE COMPETENCIES

Technical Knowledge | Technical Experience

  • Understanding of and handson experience with complex statistical analysis, research design, and methods of organizing information using tables, charts, and graphs.
  • Conducting complex professional/technical research and analysis, such as, descriptive and inferential statistics, including probability theory, sampling techniques, statistical correlations, frequency distribution, reliability and variability criteria, and regression analysis.
  • Understanding methods of data extraction, quality assurance, and management.
  • Using principles and methods of qualitative and quantitative data collection, analysis and management.
  • Understanding of best practices, trends and emerging techniques and methodologies and when to utilize.
  • Implementing principles and practices of obtaining stakeholder input through various forms (e.g., focus groups, key informant interviews, etc.) and incorporating program evaluation into program quality improvement.
  • Using statistical software such as SPSS to perform statistical analysis.

Leadership l Supervision

  • Supervisory principles, practices and techniques including employee development, coordinating deadlines, prioriti
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